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Part 1: Document Description
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Citation |
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Title: |
CCRO Functional Fault Detection Study |
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Identification Number: |
doi:10.7910/DVN/8D8TFY |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-08-01 |
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Version: |
2 |
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Bibliographic Citation: |
Kuras, Aurora; Privett, Hunter J.; Cath, Tzahi Y.; Hering, Amanda S., 2023, "CCRO Functional Fault Detection Study", https://doi.org/10.7910/DVN/8D8TFY, Harvard Dataverse, V2 |
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Citation |
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Title: |
CCRO Functional Fault Detection Study |
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Identification Number: |
doi:10.7910/DVN/8D8TFY |
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Authoring Entity: |
Kuras, Aurora (Colorado School of Mines) |
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Privett, Hunter J. (Baylor University) |
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Cath, Tzahi Y. (Colorado School of Mines) |
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Hering, Amanda S. (Baylor University) |
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Grant Number: |
HDR:DSC 1924146 |
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Grant Number: |
DE-FOA-0001905 |
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Grant Number: |
ERC EEC-1028968 |
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Grant Number: |
ERC EEC-1028968 |
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Grant Number: |
ERC EEC-1028968 |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Hering, Amanda S. |
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Depositor: |
Mastin, Natalie |
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Date of Deposit: |
2023-05-24 |
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Holdings Information: |
https://doi.org/10.7910/DVN/8D8TFY |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Mathematical Sciences |
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Abstract: |
A dataset from a closed circuit reverse osmosis (CC-RO) pilot system from October 2, 2021 at 2:56 PM to October 19, 2021 at 2:49 PM with four measurements recorded every second. The CC-RO system health is determined by membrane performance, which is monitored via the mass transfer coefficient (MTC). This should remain constant over time but can vary with concentration polarization, so MTC is monitored with respect to the conductivity of the reject stream. This dataset may be used to determine if functional data analysis techniques can be used to identify faults, and can be used to test methods for functional data of varying lengths. The dataset contains a drift fault where the MTC started to drift to lower values, beginning on October 16, 2021. This dataset contains a data frame consisting of 3,823,017 observations that includes the conductivity, MTC, date and time of the observation, and current RO cycle. Within this time frame, there are 270 cycles. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Kuras, A., Cath, T. Y., and Hering, A. S. (2023) “Functional data analysis approach for detecting faults in cyclic water and wastewater treatment processes,” Now Online at Environmental Science and Technology: Water. |
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Bibliographic Citation: |
Kuras, A., Cath, T. Y., and Hering, A. S. (2023) “Functional data analysis approach for detecting faults in cyclic water and wastewater treatment processes,” Now Online at Environmental Science and Technology: Water. |
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Label: |
CCRO.Rd |
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Text: |
R documentation file |
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Notes: |
application/octet-stream |
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Label: |
CCRO_Flow_Diagram.png |
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Text: |
Process diagram |
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Notes: |
image/png |
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Label: |
CCRO_raw_cycles.csv |
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Text: |
CSV data file |
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Notes: |
text/csv |
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Label: |
CCRO_raw_cycles.rda |
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Text: |
R data object |
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Notes: |
application/x-rlang-transport |